Work

Prediction of Sulfur Content during Steel Refining Process Based on Machine Learning Methods

Year: 2024

Type: article

Source: steel research international

DOI: 10.1002/srin.202400662

Authors: Jiang Gao, Lingxiao Cui, Weijian Wang, Lifeng Zhang, Wen Yang

Institutions: Yanshan University, University of Science and Technology Beijing, North China University of Technology

Language: English

Topic: Metallurgical Processes and Thermodynamics

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: G5424951867, G6555123929

OpenAlex ID: W4403944050

FWCI: 0.406

Cites: 27

Cited by: 3

Related to: 10